





import json
import os
import subprocess
import unittest
from ast import literal_eval

import pytest
from parameterized import parameterized, parameterized_class

from . import is_sagemaker_available


if is_sagemaker_available():
 from sagemaker import Session, TrainingJobAnalytics
 from sagemaker.huggingface import HuggingFace







@pytest.mark.skipif(
    literal_eval(os.getenv('TEST_SAGEMAKER'			, 'False'	)	) is not True			, reason='Skipping test because should only be run when releasing minor transformers version'			, )
@pytest.mark.usefixtures('sm_env'	)
@parameterized_class(
    [
        {
            'framework': 'pytorch',
            'script': 'run_glue.py',
            'model_name_or_path': 'distilbert-base-cased',
            'instance_type': 'ml.p3.16xlarge',
            'results': {'train_runtime': 650, 'eval_accuracy': 0.7, 'eval_loss': 0.6},
        },
        {
            'framework': 'pytorch',
            'script': 'run_ddp.py',
            'model_name_or_path': 'distilbert-base-cased',
            'instance_type': 'ml.p3.16xlarge',
            'results': {'train_runtime': 600, 'eval_accuracy': 0.7, 'eval_loss': 0.6},
        },
        {
            'framework': 'tensorflow',
            'script': 'run_tf_dist.py',
            'model_name_or_path': 'distilbert-base-cased',
            'instance_type': 'ml.p3.16xlarge',
            'results': {'train_runtime': 600, 'eval_accuracy': 0.6, 'eval_loss': 0.7},
        },
    ]	)
class      lowerCamelCase(						unittest.TestCase	):
     '''simple docstring'''


     def        lowerCAmelCase__		(    self							):
         if self.framework == "pytorch":
             subprocess.run(
                 F"cp ./examples/pytorch/text-classification/run_glue.py {self.env.test_path}/run_glue.py".split()				,     encoding='utf-8'				,     check=snake_case_				,     )
         assert hasattr(self				,     'env'							)




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							F"{self.env.base_job_name}-{instance_count}-{'ddp' if 'ddp' in self.script else 'smd'}"
         # distributed data settings
         _A     =							{'smdistributed': {'dataparallel': {'enabled': True}}} if self.script != 'run_ddp.py' else None

         # creates estimator
         return HuggingFace(
             entry_point=self.script				,     source_dir=self.env.test_path				,     role=self.env.role				,     image_uri=self.env.image_uri				,     base_job_name=snake_case_				,     instance_count=snake_case_				,     instance_type=self.instance_type				,     debugger_hook_config=snake_case_				,     hyperparameters={**self.env.distributed_hyperparameters, 'model_name_or_path': self.model_name_or_path}				,     metric_definitions=self.env.metric_definitions				,     distribution=snake_case_				,     py_version='py36'				,     )




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         TrainingJobAnalytics(snake_case_							).export_csv(F"{self.env.test_path}/{job_name}_metrics.csv"							)




     @parameterized.expand([(2,)]							)
     def        lowerCAmelCase__		(    self				,     snake_case_							):
         # create estimator
         _A     =							self.create_estimator(snake_case_							)

         # run training
         estimator.fit()

         # result dataframe
         _A     =							TrainingJobAnalytics(estimator.latest_training_job.name							).dataframe()

         # extract kpis
         _A     =							list(result_metrics_df[result_metrics_df.metric_name == 'eval_accuracy']['value']							)
         _A     =							list(result_metrics_df[result_metrics_df.metric_name == 'eval_loss']['value']							)
         # get train time from SageMaker job, this includes starting, preprocessing, stopping
         _A     =							(
             Session().describe_training_job(estimator.latest_training_job.name							).get('TrainingTimeInSeconds'				,     99_9999							)
         )

         # assert kpis
         assert train_runtime <= self.results["train_runtime"]
         assert all(t >= self.results['eval_accuracy'] for t in eval_accuracy							)
         assert all(t <= self.results['eval_loss'] for t in eval_loss							)

         # dump tests result into json file to share in PR
         with open(F"{estimator.latest_training_job.name}.json"				,     'w'							) as outfile:
             json.dump({'train_time': train_runtime, 'eval_accuracy': eval_accuracy, 'eval_loss': eval_loss}				,     snake_case_							)









from __future__ import annotations

import math
import random
from typing import Any







class 							lowerCamelCase__						:






			"""simple docstring"""






			def __init__(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							[]
						UpperCamelCase__       =							0
						UpperCamelCase__       =							0




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.head == self.tail




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						self.data.append(snake_case  )
						UpperCamelCase__       =							self.tail + 1




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							self.data[self.head]
						UpperCamelCase__       =							self.head + 1
						return ret




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.tail - self.head







			def 					snake_case__					(				self  ):

						'''simple docstring'''


						print(self.data  )
						print("**************"  )
						print(self.data[self.head : self.tail]  )







class 							lowerCamelCase__						:






			"""simple docstring"""






			def __init__(				self   ,    snake_case  ):

						'''simple docstring'''


						UpperCamelCase__       =							data
						UpperCamelCase__       =							None
						UpperCamelCase__       =							None
						UpperCamelCase__       =							1




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.data




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.left




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.right




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.height




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						UpperCamelCase__       =							data




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						UpperCamelCase__       =							node




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						UpperCamelCase__       =							node







			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						UpperCamelCase__       =							height



def 							UpperCamelCase_(					_A :MyNode | None	)->		int:
			if node is None:
						return 0
			return node.get_height()
def 							UpperCamelCase_(					_A :int					,  _A :int	)->		int:
			if a > b:
						return a
			return b
def 							UpperCamelCase_(					_A :MyNode	)->		MyNode:
			print("left rotation node:"					,  node.get_data()	)
			UpperCamelCase__       =							node.get_left()
			assert ret is not None
			node.set_left(ret.get_right()	)
			ret.set_right(_A	)
			UpperCamelCase__       =							my_max(get_height(node.get_right()	)					,  get_height(node.get_left()	)	) + 1
			node.set_height(_A	)
			UpperCamelCase__       =							my_max(get_height(ret.get_right()	)					,  get_height(ret.get_left()	)	) + 1
			ret.set_height(_A	)
			return ret
def 							UpperCamelCase_(					_A :MyNode	)->		MyNode:
			print("right rotation node:"					,  node.get_data()	)
			UpperCamelCase__       =							node.get_right()
			assert ret is not None
			node.set_right(ret.get_left()	)
			ret.set_left(_A	)
			UpperCamelCase__       =							my_max(get_height(node.get_right()	)					,  get_height(node.get_left()	)	) + 1
			node.set_height(_A	)
			UpperCamelCase__       =							my_max(get_height(ret.get_right()	)					,  get_height(ret.get_left()	)	) + 1
			ret.set_height(_A	)
			return ret
def 							UpperCamelCase_(					_A :MyNode	)->		MyNode:
			UpperCamelCase__       =							node.get_left()
			assert left_child is not None
			node.set_left(left_rotation(_A	)	)
			return right_rotation(_A	)
def 							UpperCamelCase_(					_A :MyNode	)->		MyNode:
			UpperCamelCase__       =							node.get_right()
			assert right_child is not None
			node.set_right(right_rotation(_A	)	)
			return left_rotation(_A	)
def 							UpperCamelCase_(					_A :MyNode | None					,  _A :Any	)->		MyNode | None:
			if node is None:
						return MyNode(_A	)
			if data < node.get_data():
						node.set_left(insert_node(node.get_left()					,  _A	)	)
						if (
						    get_height(node.get_left()	) - get_height(node.get_right()	) == 2
						):  # an unbalance detected
									UpperCamelCase__       =							node.get_left()
									assert left_child is not None
									if (
									    data < left_child.get_data()
									):  # new node is the left child of the left child
												UpperCamelCase__       =							right_rotation(_A	)
									else:
												UpperCamelCase__       =							lr_rotation(_A	)
			else:
						node.set_right(insert_node(node.get_right()					,  _A	)	)
						if get_height(node.get_right()	) - get_height(node.get_left()	) == 2:
									UpperCamelCase__       =							node.get_right()
									assert right_child is not None
									if data < right_child.get_data():
												UpperCamelCase__       =							rl_rotation(_A	)
									else:
												UpperCamelCase__       =							left_rotation(_A	)
			UpperCamelCase__       =							my_max(get_height(node.get_right()	)					,  get_height(node.get_left()	)	) + 1
			node.set_height(_A	)
			return node
def 							UpperCamelCase_(					_A :MyNode	)->		Any:
			while True:
						UpperCamelCase__       =							root.get_right()
						if right_child is None:
									break
						UpperCamelCase__       =							right_child
			return root.get_data()
def 							UpperCamelCase_(					_A :MyNode	)->		Any:
			while True:
						UpperCamelCase__       =							root.get_left()
						if left_child is None:
									break
						UpperCamelCase__       =							left_child
			return root.get_data()
def 							UpperCamelCase_(					_A :MyNode					,  _A :Any	)->		MyNode | None:
			UpperCamelCase__       =							root.get_left()
			UpperCamelCase__       =							root.get_right()
			if root.get_data() == data:
						if left_child is not None and right_child is not None:
									UpperCamelCase__       =							get_left_most(_A	)
									root.set_data(_A	)
									root.set_right(del_node(_A					,  _A	)	)
						elif left_child is not None:
									UpperCamelCase__       =							left_child
						elif right_child is not None:
									UpperCamelCase__       =							right_child
						else:
									return None
			elif root.get_data() > data:
						if left_child is None:
									print("No such data"	)
									return root
						else:
									root.set_left(del_node(_A					,  _A	)	)
			else:  # root.get_data() < data
						if right_child is None:
									return root
						else:
									root.set_right(del_node(_A					,  _A	)	)

			if get_height(_A	) - get_height(_A	) == 2:
						assert right_child is not None
						if get_height(right_child.get_right()	) > get_height(right_child.get_left()	):
									UpperCamelCase__       =							left_rotation(_A	)
						else:
									UpperCamelCase__       =							rl_rotation(_A	)
			elif get_height(_A	) - get_height(_A	) == -2:
						assert left_child is not None
						if get_height(left_child.get_left()	) > get_height(left_child.get_right()	):
									UpperCamelCase__       =							right_rotation(_A	)
						else:
									UpperCamelCase__       =							lr_rotation(_A	)
			UpperCamelCase__       =							my_max(get_height(root.get_right()	)					,  get_height(root.get_left()	)	) + 1
			root.set_height(_A	)
			return root







class 							lowerCamelCase__						:






			"""simple docstring"""






			def __init__(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							None




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return get_height(self.root  )




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						print("insert:" + str(snake_case  )  )
						UpperCamelCase__       =							insert_node(self.root   ,    snake_case  )




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						print("delete:" + str(snake_case  )  )
						if self.root is None:
									print("Tree is empty!"  )
									return
						UpperCamelCase__       =							del_node(self.root   ,    snake_case  )







			def __str__(				self   ,    ):  # a level traversale, gives a more intuitive look on the tree

						'''simple docstring'''


						UpperCamelCase__       =							""
						UpperCamelCase__       =							MyQueue()
						q.push(self.root  )
						UpperCamelCase__       =							self.get_height()
						if layer == 0:
									return output
						UpperCamelCase__       =							0
						while not q.is_empty():
									UpperCamelCase__       =							q.pop()
									UpperCamelCase__       =							" " * int(math.pow(2   ,    layer - 1  )  )
									output += space
									if node is None:
												output += "*"
												q.push(snake_case  )
												q.push(snake_case  )
									else:
												output += str(node.get_data()  )
												q.push(node.get_left()  )
												q.push(node.get_right()  )
									output += space
									UpperCamelCase__       =							cnt + 1
									for i in range(100  ):
												if cnt == math.pow(2   ,    snake_case  ) - 1:
															UpperCamelCase__       =							layer - 1
															if layer == 0:
																		output += "\n*************************************"
																		return output
															output += "\n"
															break
						output += "\n*************************************"
						return output



def 							UpperCamelCase_(					)->		None:
			import doctest

			doctest.testmod()


if __name__ == "__main__":
						_test()
						__UpperCamelCase     		=							AVLtree()
						__UpperCamelCase     		=							list(range(1_0))
						random.shuffle(lst)
						for i in lst:
												t.insert(i)
												print(str(t))
						random.shuffle(lst)
						for i in lst:
												t.del_node(i)
												print(str(t))


